Cranfield’s research shows that integrating multiple sources of data improves insights for predictive maintenance.
Credit: HAECO
The aftermarket is starting to look at predictive maintenance from different angles with different data types. Fleet age will play a role—a 30-year-old aircraft will differ from newer airframes built with custom technologies. In such cases, the approach to predictive analytics will depend on access...
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